Natural language is ambiguous at every level including tokens. Is "someone"
one word or two? Language models handle this by mixing the predictions
given by the contexts "some", "one", and "someone".

Using fixed dictionaries is a compromise that reduces accuracy for reducing
computation,  like all tradeoffs in data compressors.

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